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Teradata

Teradata MCP Server

Official
by Teradata

dba_tableUsageImpact

Measure table and view usage by user to pinpoint which tables and users drive most resource consumption.

Instructions

Measure the usage of tables and views by users to understand what users and tables are driving most resource usage.

Arguments: database_name - Database name to analyze. Leave empty for all databases. user_name - User name to analyze. Leave empty for all users. persist - If True, materializes result as a volatile table and returns table name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
persistNoIf True, materializes result as a volatile table and returns table name
database_nameNoDatabase name to analyze. Leave empty for all databases.
user_nameNoUser name to analyze. Leave empty for all users.
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description should disclose behavioral traits. It only explains the persist parameter's effect but does not state whether the tool is read-only, what happens when persist is false (likely returns result set), or any side effects. The default behavior is unclear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loads the purpose, and uses clear parameter documentation without superfluous content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description lacks details on the return format when persist is false and does not address behavioral safety or prerequisites. Given no output schema and no annotations, the description is insufficiently complete for a tool with three parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the description repeats the parameter descriptions from the schema without adding new meaning. Baseline is 3 as no additional insight beyond the schema is provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Measure' and the resource 'usage of tables and views', with the goal of understanding resource usage drivers. It differentiates from siblings like base_tableUsage by focusing on 'impact' and user/table resource usage.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use or when-not-to-use guidance is provided. There is no mention of alternatives or context for choosing this tool over siblings like base_tableUsage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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